extra-trees

Prediction of forest cover type in Python.

An AI-driven hotel classification system using Extra Trees with SHAP-based explainability. Includes Streamlit frontend and FastAPI backend for deployment.

Precision-preserving optimized inference for one-dimensional reactive contaminant transport, with validated ADR1D-ML-Compact and ADR1D-NN-Fast models and reproducible Python workflows.

Fast gradient-boosted decision trees for Apple Silicon. A lightweight, sklearn-style Python API powered by MPS and Metal.

A Python tool for trading signals on global markets based on machine learning

End-to-end machine learning pipeline for credit card fraud detection with risk scoring and investigation queue. Uses Extra Trees classifier with calibrated thresholds, explainability (permutation importance), drift monitoring, and a Streamlit dashboard. Human-in-the-loop decision support, not auto-blocking.

🤖📖 Application that compares most known ML algorithms and generates plots and markdown files.